Cooley-Tukey-based fast Fourier transform (FFT) algorithm
An algorithm and twiddle factor technology, applied in calculation, complex mathematical operations, special data processing applications, etc., can solve problems such as slow dynamic response speed, long calculation delay, and low calculation accuracy, so as to reduce the number of multiplications and solve the problem of occupying The effect of large amounts of RAM space
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[0015] The present invention will be further described below in conjunction with the accompanying drawings.
[0016] In the traditional FFT method, the number of complex multiplications of N-point FFT is equal to N 2 , the amount of calculation is too large, the calculation delay is long, and the dynamic response speed is slow; using the Cooley-Tukey FFT algorithm, decomposing the N-point FFT into several shorter sequence FFTs can greatly reduce the number of multiplications, for example, the N-point The FFT breaks down into two Point FFT, then the number of multiplications will be reduced to
[0017] Here, the two-dimensional Cooley-Tukey fast algorithm assuming N=r1*r2 is used to explain the Cooley-Tukey fast algorithm, which is divided into five steps:
[0018] a. Rewrite x(n) into x(n1,n0), using
[0019] x(n)=x(r 2 no 1 +n 0 )=x(n 1 ,n 0 ),
[0020] b. Do r2 FFTs of r1 points to get X1(k0,n0).
[0021] X 1 ...
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